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What are some good books on AI ethics?

Last Updated: 29.06.2025 00:47

What are some good books on AI ethics?

Lewis, M. (2023). Going Infinite: The Rise and Fall of a New Tycoon.

Miller, C. (2022). Chip War.

Werthner, H. et al. (eds.) (2024). Introduction to Digital Humanism: A Textbook.

Sapiente aperiam est dolores.

Broussard, M. (2023). More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech. MIT Press.

Vinding, M. (2022). Reasoned Politics.

Miller, S., and others. (2022). National Security Intelligence and Ethics.

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Schneier, B. (2023). A Hacker's Mind.

Kyle, C. (2024). Filterworld: How Algorithms Flattened Culture.

References:

Are miracles real or do they just have natural explanations?

Also see Books, Nonfiction.

Jongepier, F., & Klenk, M. (Eds.). (2022). The Philosophy of Online Manipulation. Taylor & Francis.

Compulsive reading is now challenged by chatbots, and literary stasis or equilibrium by language models trained on the totality. Newer books include the big news over the past couple of years such as machine learning after algorithms, GPT-4, generative and multimodal AIs, and the Nobel Prizes. The prior ones might have more reviews though which show up in search, that sponsorship often changing hands. Autonomous arms are actively split between East and West. Futurists can check off a couple of things, and still see more emerging tech as well as competition under constraints of climate. You can find many lit reviews in the papers on preprint engines now. This is for a public weaned on cyberpunk sci-fi and games. Philosophers still argue between speculation and analysis. Regulators are continent or country-specific—the moral being about individual values recognized by a common AGI sooner rather than later. Since Zeno, infinities have been something to avoid, but new fields are still built out of begging the question as a method, approximation, or proxy, e.g. quantum, computing, and simulation. Including what about human nature is revealed and its relationship to ideology. AI also assists in writing. So your follow-up questions to those in the books could produce another.

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Scharre, P. (2023). Four Battlegrounds: Power in the Age of Artificial Intelligence.

Rus, D. and Mone, G. (2024). The Heart and the Chip.

Marcus, G. (2024). Taming Silicon Valley.

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Chalmers, D. (2022). Reality+: Virtual Worlds and the Problems of Philosophy.

Bostrom, N. (2024). Deep Utopia: Life and Meaning in a Solved World.

Vallor, S. (2024). The AI Mirror: How to Reclaim Our Humanity in an Age of Machine Thinking.

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Acemoglu, D. and Johnson, S. (2023). Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity.

Kurzweil, R. (2024). The Singularity is Nearer.

Farahany, N. A. (2023). The Battle for Your Brain: Defending the Right to Think Freely in the Age of Neurotechnology.

What percent of "being a good programmer" is due to expertise in the syntax of a language(s)? Could you have mastered syntax and still be a bad programmer; or, conversely, be a great programmer with only a fundamental handle on syntax?

Kissinger, H. A., et al. (2024). Genesis: Artificial Intelligence, Hope, and the Human Spirit.